{"id":20988366,"url":"https://github.com/ikomia-dev/notebooks","last_synced_at":"2025-08-15T14:19:06.804Z","repository":{"id":109038587,"uuid":"546552603","full_name":"Ikomia-dev/notebooks","owner":"Ikomia-dev","description":"Notebooks using the Ikomia API","archived":false,"fork":false,"pushed_at":"2025-02-05T13:56:13.000Z","size":50877,"stargazers_count":18,"open_issues_count":0,"forks_count":11,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-12T05:03:05.346Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Ikomia-dev.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-10-06T09:01:51.000Z","updated_at":"2025-02-26T18:55:45.000Z","dependencies_parsed_at":"2023-10-05T14:16:22.998Z","dependency_job_id":"63c9f74e-832c-4af7-98fd-4a469ed86eca","html_url":"https://github.com/Ikomia-dev/notebooks","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Ikomia-dev/notebooks","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ikomia-dev%2Fnotebooks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ikomia-dev%2Fnotebooks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ikomia-dev%2Fnotebooks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ikomia-dev%2Fnotebooks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Ikomia-dev","download_url":"https://codeload.github.com/Ikomia-dev/notebooks/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ikomia-dev%2Fnotebooks/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270579845,"owners_count":24610090,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-15T02:00:12.559Z","response_time":110,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-19T06:20:28.449Z","updated_at":"2025-08-15T14:19:06.747Z","avatar_url":"https://github.com/Ikomia-dev.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"#  :milky_way: Ikomia API Notebooks Collection\n\n:star: Welcome to the Ikomia API Notebooks Collection!  Explore our wide range of Jupyter notebooks for computer vision tasks, including object detection, segmentation, classification, and more. \n\n## Documentation Notebook\n\n| Notebook |   Description      |\n|:----------|:-------------|\n| [Make a simple workflow](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_make_a_simple_workflow_with_Ikomia_API.ipynb) |Learn how to use the Ikomia API to easily prototype some Computer Vision workflows |\n| [Ikomia SCALE welcome on board](https://github.com/Ikomia-dev/notebooks/blob/main/examples/Ikomia_SCALE_welcome_on_board.ipynb) |Shows how to get started with Ikomia SCALE, a SaaS platform for deploying Ikomia workflows on dedicated endpoints| \n| [Ikomia SCALE - Deploy FLUX.1](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_deploy_Ikomia_SCALE_FLUX1.ipynb) |End-to-end example for deploying text-to-image models on dedicated endpoints| \n\n\n\n## Object Detection\n\n| Notebook |   Description      |\n|:----------|:-------------|\n| [Run Camera Stream Processing](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_Camera_Stream_Processing_with_Ikomia_API.ipynb) | Show how run video stream for real-time processing using YOLOv7 as an example | \n| [Run Face Detection and Blur](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_Face_Detection_and_Blur_with_Ikomia_API.ipynb) | Shown how to create a workflow for face detection with Kornia and blurring with OpenCV |\n| [Use Detectron2 Object Detection](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_use_Detectron2_Object_Detection_with_Ikomia_API.ipynb) | Shows how to use Detecton 2 for object detection| \n| [Use MMDetection](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_use_MMDetection_with_Ikomia_API.ipynb) | Shows how to run the MMDetection toolkit | |\n| [Run Grounding Dino](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_Grounding_DINO_with_Ikomia_API.ipynb) | Shows how to Grounding Dino for Zero-Shot object detection | \n| [Train YOLOR construction safety dataset](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_train_YOLOR_with_Ikomia_API_construction_safety_dataset%20.ipynb) | Shows how to train to fine-tune a YOLOR model on a safety construction dataset| \n| [Train YOLO v7](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_train_YOLO_v7_with_Ikomia_API.ipynb) |Shows how to train to fine-tune a YOLOv7 model on aerial airplane dataset | \n| [Train YOLO v9](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_train_YOLO_v9_with_Ikomia_API.ipynb) | Shows how to train to fine-tune a YOLOv9 model on a basketball dataset| \n| [Use YOLO-World](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_YOLO_World_with_Ikomia_API.ipynb) | Shows how to use YOLO-World for zero-shot object detection| \n| [Train YOLO v10](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_train_YOLO_v10_with_Ikomia_API.ipynb) | Shows how to train to fine-tune a YOLOv10 model on a Chess pieces dataset| \n| [Use OWLv2](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_OWLv2_with_Ikomia_API.ipynb) | Shows how to use OWLv2 for zero-shot object detection| \n\n\n\n\n\n## Segmentation\n\n| Notebook |   Description      |\n|:----------|:-------------|\n| [Run DeepLabPlus](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_DeepLabPlus_with_Ikomia_API.ipynb) | Shows how to run DeepLabV3 + for semantic segmentation |\n| [Run Mask R-CNN](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_Mask_R-CNN_with_Ikomia_API.ipynb) | Shows how to run Mask R-CNN for segmentation | \n| [Run MnasNet](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_MnasNet_with_Ikomia_API.ipynb) |Shows how to run MnasNet for instance segmentation | \n| [Run YOLACT](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_YOLACT_with_Ikomia_API.ipynb) |Shows how to run YOLACT for instance segmentation | \n| [Run SparseInst](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_SparseInst_with_Ikomia_API.ipynb) |Shows how to run SparseInst for instance segmentation   | \n| [Run YOLOP v2](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_YOLOP_v2_with_Ikomia_API.ipynb) |Shows how to run YOLOPv2 road, lane segmentation and vehicule detection | \n| [Use MMSegmentation](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_use_MMSegmentation_with_Ikomia_API.ipynb) |Shows how to use the MMsegmentation toolkit | \n| [Use MobileSAM](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_use_MobileSAM_with_Ikomia_API.ipynb) |Shows how to run the Faster Segment Anything Model | \n| [Train YOLO v8 segmentation](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_train_YOLO_v8_seg_with_Ikomia_API_coral_dataset.ipynb) |Shows how to fine-tuned YOLOv8 instance segmentation on a coral dataset | \n| [Use YOLO v9 \u0026 SAM](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_use_YOLOv9_and_SAM_with_Ikomia_API.ipynb) |Shows how to create a workflow using object detection with YOLOv9 - object filtering by class - and segmentation with mobile_sam or SAM | \n| [Use SAM2](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_use_SAM_2_with_Ikomia_API.ipynb) |Shows how to run SAM2 | \n\n\n\n## Classification\n\n| Notebook |   Description      |\n|:----------|:-------------|\n| [Run Faster R-CNN](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_Faster_R-CNN_with_Ikomia_API.ipynb) | |\n| [Run ResNext](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_ResNext_with_Ikomia_API.ipynb) | | |\n| [Train Classification Model](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_train_Classification_Model_with_Ikomia_API.ipynb) | |\n\n## Diffusion \u0026 Image Art\n\n| Notebook |   Description      |\n|:----------|:-------------|\n| [Run Neural Style Transfer](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_Neural_Style_Transfer_with_Ikomia_API.ipynb) | | \n| [Run Kandinsky](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_Kandinsky_with_Ikomia_API.ipynb) | | \n| [Run Stable Diffusion](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_Stable_Diffusion_with_Ikomia_API.ipynb) | | \n| [Use SAM and SD inpaint](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_use_SAM_and_SD_inpaint_with_Ikomia_API.ipynb) | |\n| [Run Stable Cascade](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_Stable_Cascade_with_Ikomia_API.ipynb) | |\n| [Run and deploy Face inpainting](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_deploy_Ikomia_SCALE_face_inpainting.ipynb) | |\n\n\n## Background Removal\n\n| Notebook |   Description      |\n|:----------|:-------------|\n| [Run MODNet](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_MODNet_with_Ikomia_API.ipynb) | | \n| [Run P3M](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_P3M_with_Ikomia_API.ipynb) | | \n\n## Super Resolution and Image Restoration\n\n| Notebook |   Description      |\n|:----------|:-------------|\n| [Run SwinIR super resolution](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_SwinIR_super_resolution_with_Ikomia_API.ipynb) | | \n\n\n## Tracking\n\n| Notebook |   Description      |\n|:----------|:-------------|\n| [Use ByteTrack](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_use_ByteTrack_with_Ikomia_API.ipynb) | |\n| [Use DeepSORT](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_use_DeepSORT_with_Ikomia_API.ipynb) | | \n\n## Pose Estimation\n\n| Notebook |   Description      |\n|:----------|:-------------|\n| [Run YOLO v8 pose](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_YOLO_v8_pose_with_Ikomia_API.ipynb) | | \n\n## OCR (Optical Character Recognition)\n\n| Notebook |   Description      |\n|:----------|:-------------|\n| [Use MMOCR](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_use_MMOCR_with_Ikomia_API.ipynb) | |\n| [Run and deploy MMOCR](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_deploy_Ikomia_SCALE_text_extraction.ipynb) | |\n\n\n## Other\n\n| Notebook |   Description      |\n|:----------|:-------------|\n| [Use Canny](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_use_Canny_with_Ikomia_API.ipynb) ||\n| [Use Google Cloud Vision API](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_use_Google_Cloud_Vision_API_with_Ikomia_API.ipynb) ||\n| [Use Depth Anything](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_Depth_Anything_with_Ikomia_API.ipynb) ||\n| [Use Florence-2](https://github.com/Ikomia-dev/notebooks/blob/main/examples/HOWTO_run_Florence_2_with_Ikomia_API.ipynb) ||\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fikomia-dev%2Fnotebooks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fikomia-dev%2Fnotebooks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fikomia-dev%2Fnotebooks/lists"}